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Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval

ICML 2022 · Probabilistic and scientific modeling › Molecules and proteins · approach: Protein fitness and variant effect prediction · 125 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add inference-time retrieval of homologous sequences (ablation)Tranception · ProteinGym substitution benchmark, all MSA depthsSpearman: 0.406 -> 0.451Helped
Add inference-time retrieval of homologous sequences (ablation)Tranception · ProteinGym indel benchmarkSpearman: 0.430 -> 0.463Helped
Use Tranception's grouped, multi-kernel attention instead of GPT2 attention (ablation)Tranception S · ProteinGym substitution benchmark, validation setSpearman: 0.324 -> 0.344Helped
Use Tranception's grouped, multi-kernel attention instead of Primer attention (ablation)Tranception S · ProteinGym substitution benchmark, validation setSpearman: 0.314 -> 0.344Helped
Use Grouped ALiBi instead of learned position embeddings (ablation)Tranception · ProteinGym substitution benchmark, full setSpearman: 0.333 -> 0.335Helped
Train on UniRef100 rather than UniRef90 (ablation)Tranception S · ProteinGym substitution benchmark, full setSpearman: 0.275 -> 0.335Helped
Train on UniRef100 rather than UniRef50 (ablation)Tranception S · ProteinGym substitution benchmark, full setSpearman: 0.247 -> 0.335Helped
Scale from the small to the large Tranception model (ablation)Tranception · ProteinGym substitution benchmark, full setSpearman: 0.335 -> 0.404Helped
Average scores from forward and reversed sequence traversal (ablation)Tranception L · ProteinGym substitution benchmark, full setSpearman: 0.376 -> 0.401Helped
Increase retrieval weight from 0.0 to 0.6 (ablation)Tranception L · ProteinGym substitution benchmark, validation setSpearman: 0.399 -> 0.452Helped
Use retrieval-only scoring at covered positions instead of mixing retrieval with autoregressive scoring (ablation)Tranception L · ProteinGym substitution benchmark, validation setSpearman: 0.452 -> 0.397Hurt

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